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- W4322761324 abstract "In this study, we present an optimization sparse approximate inverse (SPAI) preconditioning algorithm on GPU, called GSPAI-Opt. In GSPAI-Opt, it fuses the advantages of two popular SPAI preconditioning algorithms, and has the following novelties: (1) an optimization strategy is proposed to choose whether to use the constant or non-constant thread group for any sparse pattern of the preprocessor, and (2) a parallel framework of optimizing the SPAI preconditioner is proposed on GPU, and (3) for each component of the preconditioner, a decision tree is established to choose the optimal kernel of computing it. Experimental results validate the effectiveness of GSPAI-Opt." @default.
- W4322761324 created "2023-03-03" @default.
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- W4322761324 date "2022-10-01" @default.
- W4322761324 modified "2023-09-26" @default.
- W4322761324 title "Optimizing the sparse approximate inverse preconditioning algorithm on GPU" @default.
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- W4322761324 doi "https://doi.org/10.1016/j.tbench.2023.100087" @default.
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